Abstract
In today’s stressful environment of IT Industry, there is a truancy for the appropriate relaxation time for all working professionals. To keep a person stress-free, various technical or nontechnical stress releasing methods are now being adopted. We can classify people working on computers as administrators, programmers, etc. Each of them requires varied ways in order to ease them from the stressed environment. The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. In this paper, we propose a user-intuitive smart music player. This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively, the music will be played for the user to relax them. The music player will take into account the foreground processes which the person is executing on the computer. Since various sorts of music are available to boost one’s enthusiasm, taking into consideration the tasks executed on the system by the user and the current emotions they carry, an ideal playlist of songs will be created and played for the person. The person can browse the playlist and modify it to make the system more flexible. This music player will thus allow the working professionals to stay relaxed in spite of their workloads.
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Sen, A., Popat, D., Shah, H., Kuwor, P., Johri, E. (2018). Music Playlist Generation Using Facial Expression Analysis and Task Extraction. In: Hu, YC., Tiwari, S., Mishra, K., Trivedi, M. (eds) Intelligent Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-10-5523-2_13
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DOI: https://doi.org/10.1007/978-981-10-5523-2_13
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